Own the end-to-end product vision and roadmap for the core data platform. Deliver expert tooling, workflow orchestration, data ingestion/versioning, IAM, APIs/SDKs, and reliability improvements while partnering with Engineering, Research, and Operations to drive metrics and scale production data workflows.

Lead the Forward Deployed Engineering function, overseeing technical execution of data services and building a high-performing engineering team focused on AI data pipelines and workflows.

The Senior/Staff Research Scientist will develop and implement AI techniques, prototype solutions, and collaborate with teams to apply research in real-world settings.

Lead the Forward Deployed Engineering team to build and deliver high-quality datasets for AI initiatives, ensuring exceptional data delivery and process improvements through ML techniques.

The Revenue Operations Lead will collaborate with GTM leadership to create operational plans, manage performance, and provide analytical insights to support business growth and execution.

The GTM Engineer will design and implement automated workflows and AI-enabled processes to streamline operations across Sales, Marketing, and Revenue teams, improving efficiency and data management.

The Senior Business Systems Analyst will gather requirements, design solutions, and implement them in Salesforce while collaborating with various teams to support operational efficiency.

As an Applied AI Engineer, you will enhance customer solutions using AI and machine learning, collaborating closely with clients to design effective AI implementations and drive business impact.

The Applied Research Engineer will manage and build GPU cluster infrastructure for AI model training, ensuring reliable operations and scalable systems.

The Principal Growth Marketing Manager will design growth strategies, develop innovative campaigns, optimize performance through data-driven experiments, and partner with sales for targeted outreach to drive revenue in a B2B environment.

The role involves driving high-impact initiatives for DaaS operations, partnering with the GM, managing teams, and using analytics for decision-making.

The Senior Product Manager will lead development for AI data systems, ensuring product quality, improving workflows, and collaborating with cross-functional teams to deliver scalable solutions.

Lead a team in developing data-centric AI systems, bridging research and product, and ensuring operational excellence in AI projects.

The Staff Product Manager will own the expert contributor product ecosystem, define product strategy, optimize marketplace outcomes, and collaborate with various teams to enhance user experience and operational efficiency.